Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China

Li, X. B. and Li, R. H. and Li, Guoqing and Wang, H. and Li, Z. F. and Li, X. B. and Hou, X. Y. (2016) Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China. Journal of Arid Environments, 124. pp. 80-90. ISSN 0140-1963

Full text not available from this repository.

Abstract

The residuals trend (RESTREND) method was used to analyze spatial distribution and gradients of vegetation degradation over three time scales: short-term (2006–2011), medium-term (2001–2011), and long-term (1990–2011) and the responses of soil nitrogen storage at different vegetation degradation gradients were compared. The analyses used the 10-day synthetic normalized difference vegetation index of the advanced very high resolution satellite image (1 km2, 1990–2011) and field surveys of typical steppes of Inner Mongolia, China to compare the responses of soil nitrogen storage at different vegetation degradation gradients. The results showed highly significant regression correlation between the maximum values of the normalized difference vegetation index and the natural logarithm of precipitation on pixel spatial series. Differences in the spatial distribution and gradients of human-induced degradation of vegetation were observed. Soil nitrogen storage decreased as vegetation degradation increased; whereas the impact of vegetation degradation on soil nitrogen decreased as soil depth increased. Thus, the modified RESTREND method can identify vegetation degradation gradients at a regional scale, and the response of soil nitrogen storage can be determined through experimental analysis.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Arid Environments
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900/1904
Subjects:
ID Code:
128412
Deposited By:
Deposited On:
19 Oct 2018 15:16
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Sep 2020 05:13